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A Transport Redundancy Approach to Spatial Clustering

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abstract
In this thesis, we consider a new random walks-based method for measuring clustering on finite graphs. The method is versatile and can provide valuable insight into the locations of centers of clusters and outliers. Some results and applications are discussed.
subject
Networks
Outlier detection
Random walks
Spatial clustering
contributor
Gao, Mingyue (author)
Berenhaut, Kenneth (committee chair)
Erway, Jennifer (committee member)
Erhardt, Robert (committee member)
date
2014-07-10T08:35:35Z (accessioned)
2014 (issued)
degree
Mathematics (discipline)
10000-01-01 (liftdate)
embargo
forever (terms)
identifier
http://hdl.handle.net/10339/39291 (uri)
language
en (iso)
publisher
Wake Forest University
title
A Transport Redundancy Approach to Spatial Clustering
type
Thesis

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